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Dr. R. Navaneetha Krishnan serves as Vice Principal at Elumalaiyam Arts and Science College, Kollumangudi, Tamil Nadu, India. His academic and administrative role involves supporting educational activities and institutional development. His contribution to this volume addresses IoT-enabled healthcare and remote patient monitoring systems.
This chapter explores the essential principles, system framework, communication technologies, sensor innovations, data-processing techniques, and real-world applications of IoT-driven smart healthcare. It showcases the amalgamation of edge computing, cloud computing, Artificial Intelligence (AI), and Machine Learning (ML) to facilitate anomaly detection, risk assessment, and individualised monitoring. The discourse encompasses applications in cardiovascular treatment, diabetes oversight, respiratory surveillance, geriatric care, post-surgical recuperation, and chronic illness management. The section also examines interoperability, data integrity, energy efficacy, network dependability, privacy, cybersecurity, patient authorisation, and the integration of healthcare workflows. When incorporated judiciously into healthcare services, IoT-enabled solutions can enhance continuity of care, enable timely identification of alarming changes, and augment access to specific monitoring services.